US 12,192,544 B2 · Determining watch time loss regions in media content items

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining watch time loss regions in media content items. In one aspect, features for a video are input into a trained model that is trained to output watch time loss regions. The trained model is trained using labels corresponding to known watch time loss regions in training videos and features of training videos that correspond to the known watch time loss regions. A watch time loss region defines a time window of a video during which a likelihood of a user stopping playback of the video is more than a threshold likelihood. In response to inputting the feature for the first video into the trained model, data regarding watch time loss regions for the video is obtained from the model and provided to an entity involved in providing the video to a user.

Claims20

Dependent claims

A computer-implemented method comprising:

determining a set of features for a first video;
inputting the set of features for the first video into a trained model that is trained to output one or more watch time loss regions in an input video, wherein a watch time loss region specifies a time window of the input video during which input video playback is expected to be to be stopped, wherein the trained model is trained using features and known watch time loss regions of a plurality of training videos;
in response to inputting the set of features for the first video into the trained model, obtaining, from the trained model, watch time loss region data for the first video;
and
providing, to an entity involved in providing the first video to a user, the watch time loss region data for the first video.

2 more elements

A system, comprising:

one or more memory devices storing instructions;
and
one or more data processing apparatus that are configured to interact with the one or more memory devices, and upon execution of the instructions, perform operations comprising:
determining a set of features for a first video;
inputting the set of features for the first video into a trained model that is trained to output one or more watch time loss regions in an input video, wherein a watch time loss region specifies a time window of the input video during which input video playback is expected to be to be stopped, wherein the trained model is trained using features and known watch time loss regions of a plurality of training videos;
in response to inputting the set of features for the first video into the trained model, obtaining, from the trained model, watch time loss region data for the first video;
and
providing, to an entity involved in providing the first video to a user, the watch time loss region data for the first video.

5 more elements

Dependencies are inferred from the claim text.

Determining watch time loss regions in media content items

Life of this patent

Determining watch time loss regions in media content items

Life of this patent

Abstract

Claims20